Job Description

We are seeking a Senior Platform Engineer, API & Gateway to converge distributed Data and AI platform services into one coherent interaction layer. This is a hands-on implementation role where you drive the Data & AI platform gateway initiative and build the APIs and SDKs on top of platform services that give engineers a single, coherent way to consume everything our platforms offer. You engineer the orchestration, API integration, IAM, and routing that turn separate services into one product surface with client libraries that make it easy to build on. You work in a high talent density domain of AI Engineers, alongside platform, security, and product teams, so what you ship directly contributes to the delivery of the client's priority AI initiatives.

_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._

Drive the Data & AI platform gateway initiative from design through implementation
Build APIs and SDKs on top of distributed platform services to provide a single, coherent consumption layer
Engineer orchestration, API integration, and routing that converge independent services into one product surface
Front platform services at the gateway level to remove direct fragmented access and enforce consistent routing
Implement authorization and routing at the gateway so downstream services remain simple
Establish RBAC/ABAC least-privilege models, managed/workload identity, and token flows with delegation
Deliver service-to-service integration across a multi-cloud footprint, including private endpoints
Maintain CI/CD pipelines, test-first delivery practices, clear service contracts, and documentation
Instrument the gateway and API layer with metrics, traces, and logs for end-to-end observability
Debug and tune production systems using observability signals
Collaborate with platform, security, and product teams to align on priority AI initiatives
Travel quarterly to the Netherlands for business purposes

Requirements

5+ years of experience in platform or software engineering
Expertise in Python, with proficiency in FastAPI, REST/async design, versioning, and contract testing
Hands-on experience building APIs and SDKs on top of distributed services
Capability to translate a fragmented service landscape into one coherent product
Expertise in gateway orchestration, API integration, and consistent routing across independent services
Knowledge of RBAC/ABAC least-privilege models, managed/workload identity, and token flows with delegation
Hands-on experience with Azure and GCP, including private endpoints and multi-cloud service integration
Proficiency in CI/CD and automation tools such as Azure DevOps and GitHub Actions
Familiarity with observability stacks such as OpenTelemetry, Prometheus, Loki, Tempo, and Grafana

Company offers

Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more